|
|
|
|
|
Qing Li, Yu Li, Lingyun Zhao, Zhixiong Zhang, Yu Wang and Meihong Ma
Accurately assessing the risk of flash floods is a fundamental prerequisite for defending against flash flood disasters. The existing methods for assessing flash flood risk are constrained by unclear key factors and challenges in elucidating disaster mec...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mengjun Ku, Hao Jiang, Kai Jia, Xuemei Dai, Jianhui Xu, Dan Li, Chongyang Wang and Boxiong Qin
South China is dominated by mountainous agriculture and croplands that are at risk of flood disasters, posing a great threat to food security. Synthetic aperture radar (SAR) has the advantage of being all-weather, with the ability to penetrate clouds and...
ver más
|
|
|
|
|
|
|
|
|
|
|
Matthew Kelly, Imogen Schwarz, Mark Ziegelaar, Andrew B. Watkins and Yuriy Kuleshov
Floods are the most common and costliest natural disaster in Australia. Australian flood risk assessments (FRAs) are mostly conducted on relatively small scales using modelling outputs. The aim of this study was to develop a novel approach of index-based...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hanaa A. Megahed, Amira M. Abdo, Mohamed A. E. AbdelRahman, Antonio Scopa and Mohammed N. Hegazy
The occurrence of flash floods is a natural yet unavoidable occurrence over time. In addition to harming people, property, and resources, it also undermines a country?s economy. This paper attempts to identify areas of flood vulnerability using a frequen...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kaveh Ghahraman, Balázs Nagy and Fatemeh Nooshin Nokhandan
We utilized the random forest (RF) machine learning algorithm, along with nine topographical/morphological factors, namely aspect, slope, geomorphons, plan curvature, profile curvature, terrain roughness index, surface texture, topographic wetness index ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenping Xu, Yingchun Xie, Qimeng Yu and David Proverbs
In recent years, the acceleration of urbanization processes coupled with more frequent extreme weather including more severe flood events, have led to an increase in the complexity of managing community flood resilience. This research presents an empiric...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sina Razzaghi Asl
Globally, floods are becoming more severe, lasting longer, and occurring more frequently because of changes in climate, rapid urbanization, and changing human demographics. Although traditional structural flood mitigation infrastructures (e.g., drainage ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Christos Makris, Zisis Mallios, Yannis Androulidakis and Yannis Krestenitis
Storm surges due to severe weather events threaten low-land littoral areas by increasing the risk of seawater inundation of coastal floodplains. In this paper, we present recent developments of a numerical modelling system for coastal inundation induced ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohamed E. Abowaly, Raafat A. Ali, Farahat S. Moghanm, Mohamed S. Gharib, Moustapha Eid Moustapha, Mohssen Elbagory, Alaa El-Dein Omara and Shimaa M. Elmahdy
Soil degradation and pollution is one of the main problems threatening the sustainable development of agriculture. This study used remote sensing and geographic information system (GIS) techniques to assess the risks of soil degradation and the risks of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
W. M. D. C. Wijesinghe, Prabuddh Kumar Mishra, Sumita Tripathi, Kamal Abdelrahman, Anuj Tiwari and Mohammed S. Fnais
This research aimed to apply the geospatial techniques and Analytical Hierarchy Process (AHP) approach to find vulnerable areas in terms of flooding in the Neluwa area, Sri Lanka. The study incorporated nine relevant criteria for the vulnerability classi...
ver más
|
|
|
|
|
|